ARTIFICIAL NEURAL NETWORKS USED FOR THE PREDICTION OF THE DIESEL ENGINE PERFORMANCE AND POLLUTION OF WASTE COOKING OIL BIODIESEL

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NAJAFI B.

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Journal: Modares Mechanical Engineering Year:2012 | Volume:11 | Issue:4 Page(s): 11-20

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Information Journal Paper

Title

ARTIFICIAL NEURAL NETWORKS USED FOR THE PREDICTION OF THE DIESEL ENGINE PERFORMANCE AND POLLUTION OF WASTE COOKING OIL BIODIESEL

Author(s)

NAJAFI B. | Issue Writer Certificate

Keywords

ALTERNATIVE FUELQ3

BIODIESELQ2

DIESEL ENGINEQ2

PERFORMANCEQ2

EMISSIONQ2

ARTIFICIAL NEURAL NETWORKSQ2

Abstract

In this research work, a comprehensive combustion analysis has been conducted to evaluate the PERFORMANCE of a low speed DIESEL ENGINE (M8/1 Lister) using BIODIESEL fuel. Waste vegetable cooking oil as an ALTERNATIVE FUEL. BIODIESEL obtained from waste vegetable cooking oil (WCO) as an ALTERNATIVE FUEL. The properties of BIODIESEL produced from WCO was measured based on ASTM standards. In order to compare brake power, torques, brake specific fuel consumption (BSFC) and concentration of the UHC and CO EMISSIONs of the engine, it has been tested under same load of Dynamometer (5 levels) and BIODIESEL fuel blends (levels)) at constant engine speed (750 rpm).The results were found to be very comparable. An artificial neural network (ANN) was developed based on the collected data of this work. Multi-layer perceptron network (MLP) was used for nonlinear mapping between the input and the output parameters. Different activation functions and several rules were used to assess the percentage error between the desired and the predicted values. The results showed that the training algorithm of Back Propagation was sufficient in predicting the engine torque, brake power, specific fuel consumption and exhaust gas components for different engine loads and different fuel blends ratios.

Cites

MODELING OF BIODIESEL DROPLET EVAPORATION: EFFECTS OF OPERATING CONDITIONS AND FUEL COMPOSITION

References

EXPERIMENTAL INVESTIGATION OF DIESEL ENGINE PERFORMANCE PARAMETERS AND POLLUTION USING BIODIESEL

Cite

APA: Copy

NAJAFI, B.. (2012). ARTIFICIAL NEURAL NETWORKS USED FOR THE PREDICTION OF THE DIESEL ENGINE PERFORMANCE AND POLLUTION OF WASTE COOKING OIL BIODIESEL. MODARES MECHANICAL ENGINEERING, 11(4), 11-20. SID. https://sid.ir/paper/179372/en

Vancouver: Copy

NAJAFI B.. ARTIFICIAL NEURAL NETWORKS USED FOR THE PREDICTION OF THE DIESEL ENGINE PERFORMANCE AND POLLUTION OF WASTE COOKING OIL BIODIESEL. MODARES MECHANICAL ENGINEERING[Internet]. 2012;11(4):11-20. Available from: https://sid.ir/paper/179372/en

IEEE: Copy

B. NAJAFI, “ARTIFICIAL NEURAL NETWORKS USED FOR THE PREDICTION OF THE DIESEL ENGINE PERFORMANCE AND POLLUTION OF WASTE COOKING OIL BIODIESEL,” MODARES MECHANICAL ENGINEERING, vol. 11, no. 4, pp. 11–20, 2012, [Online]. Available: https://sid.ir/paper/179372/en

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